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Nelson Antunes

Datos Biográficos

ID3925565
NOMBRENelson Antunes
NOMBRESNelson
APELLIDOAntunes
FIRMAANTUNES N
AFILIACIONESUniversity of Algarve
ORCID0000-0001-6071-1099
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS1
OBRAS COMO AUTOR2
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H1
  • Representation, ranking and bias of minorities in sampling attributed networks

    Open Access•Nelson Antunes, Sayan Banerjee et al.•ARTICLE•Social Network Analysis and Mining•2024

  • Sampling methods and estimation of triangle count distributions in large networks

    Open Access•Nelson Antunes, Tianjian Guo et al.•ARTICLE•Network Science•2021•Citada por: 1

    This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…

  • Sampling methods and estimation of triangle count distributions in large networks

    Open Access•Nelson Antunes, Tianjian Guo et al.•ARTICLE•Network Science•2021•Citada por: 1

    This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…

  • Sampling methods and estimation of triangle count distributions in large networks

    Open Access•Nelson Antunes, Tianjian Guo et al.•ARTICLE•Network Science•2021•Citada por: 1

    This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…

  • Representation, ranking and bias of minorities in sampling attributed networks

    Open Access•Nelson Antunes, Sayan Banerjee et al.•ARTICLE•Social Network Analysis and Mining•2024

Complex Network Analysis Techniques (2 obras) · Computer Science (2 obras) · Mathematics (2 obras) · Statistics (2 obras) · Advanced Graph Neural Networks (1 obra) · Algorithm (1 obra) · Artificial Intelligence (1 obra) · Combinatorics (1 obra) · Computer vision (1 obra) · Data mining (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae